Triple
T30417869
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jersey Shore music scene |
E773808
|
entity |
| Predicate | typicalBandFeatures |
P118055
|
FINISHED |
| Object | horn sections |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: horn sections | Statement: [Jersey Shore music scene, typicalBandFeatures, horn sections]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalBandFeatures Context triple: [Jersey Shore music scene, typicalBandFeatures, horn sections]
-
A.
featuresFictionalBand
Indicates that something (such as a work or event) includes or presents a fictional band as part of its content or narrative.
-
B.
typicalLeadInstrument
Indicates that an instrument is commonly used as the primary or lead instrument in a given musical context or performance.
-
C.
featuresRhythm
Indicates that something includes, exhibits, or is characterized by a particular rhythmic pattern or structure.
-
D.
featuresRichHarmonies
Indicates that the subject contains or employs complex, layered, and sonically dense harmonic structures.
-
E.
notableInstrumentFeature
chosen
Indicates that an instrument is distinguished by a particular characteristic, quality, or component that is especially noteworthy or defining.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f22490b8b48190ab10c886a8d58c89 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a037c876524819098545e6037d3107d |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379e2fac0819089b522db3260028c |
completed | May 12, 2026, 7:05 p.m. |
Created at: April 29, 2026, 8:05 p.m.